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Gemini 3.5 Flash (High)

GoogleGeminiProprietary

Descripción

Gemini 3.5 Flash is Google's strongest agentic and coding model in the Flash series, delivering frontier-level performance at up to 4x the speed of comparable frontier models and often at less than half the cost. Built to execute complex, agentic workflows, it outperforms Gemini 3.1 Pro on coding and agentic benchmarks while leading in multimodal understanding. It supports a 1 million-token input context window with 64k output tokens and uses dynamic thinking by default.

Fecha de lanzamiento
2026-05-19
Parámetros
—
Longitud del contexto
1.0M
Modalidades
audio, image, pdf, text, video

Radar de capacidades

35
general
68
coding
92
reasoning
69
science
70
agents
80
multimodal

Rankings

Dominio#PosiciónPuntuaciónFuente
Capacidad agéntica24
60.0
LS
Ranking de codificación75
79.0
AA
Ranking general30
74.0
AA
Razonamiento matemático35
88.0
LB
Ranking multimodal25
61.0
LS
Ciencia32
81.0
AA

Puntuaciones de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

Finance Agent57.9%Aut.
Finance Agent v257.9%
Toolathlon56.5%Aut.
Blueprint-Bench 233.6%Aut.

Code

DeepSWE 1.137.0%

Legal

Legal Agent Benchmark0.8%

Long Context

MRCR v2 (8-needle)26.6%Aut.

Math

LiveBench75.0%

Multimodal

OSWorld-Verified78.4%Aut.

Reasoning

CharXiv-R84.2%Aut.
MCP Atlas83.6%Aut.
Terminal-Bench 2.0Stanford × Laude Institute (2026)76.2%Aut.
ARC-AGI v272.1%Aut.
SWE-Bench ProPrinceton NLP (2024)55.1%Aut.
Humanity's Last Exam40.2%Aut.

Vision

MMMU-Pro83.6%Aut.

Índices de evaluación AA

(Artificial Analysis)
Tau2(Sierra + U Toronto + Vector Institute (2025))
95.3
Gpqa(NYU + Cohere + Anthropic (2023))
92.2
Terminalbench V2 1
78.7
Ifbench(Google Research (2023))
76.3
Lcr(Artificial Analysis)
73.3
Coding Index(Artificial Analysis)
70.1
Scicode(UIUC + Argonne National Lab (2024))
53.9
Hle(Center for AI Safety + Scale AI (2025))
42.7
Terminalbench Hard(Stanford × Laude Institute (2026))
40.9
Intelligence Index(Artificial Analysis)
32.6
Tau Banking
32.2
Terminalbench V4 0
6.6

Puntuaciones por categoría LLM Stats

(LLM Stats (zeroeval))
Multimodal
80
Spatial Reasoning
70
Tool Calling
70
Vision
70
Long Context
60
Math
60
Reasoning
60
Finance
60
General
60
Agents
60
Code
60
Legal
0

Precios

Precio de entrada$1.5 / 1M tokens
Precio de salida$9 / 1M tokens
Precio mixto (3:1)$3.375 / 1M tokens
Precio de lectura caché$0.15 / 1M tokens

Velocidad

Tokens/seg0.0
Retraso del primer token0.00s
Tiempo hasta la respuesta0.00s

Ranking de Precios por Proveedor

Ranking de Precios por Proveedor

4 proveedores

Más barato: GoogleMás caro: Venice AI
ProveedorEntradaSalida
1GoogleMás barato
$0
$0.00001
2DeepInfra
$0
$0.00001
3Neon
$1.5
$9
4Venice AI
$1.55
$9.45

Comparar precios entre diferentes proveedores de API para este modelo.

Fuentes externas